Pride and passion live at the heart of Fiat Chrysler Automobiles in our iconic Chrysler House building in Downtown Detroit. Within the Business Analytics area, we leverage cutting edge technologies to allow us to deliver exceptional customer experiences. Significant challenges and opportunities await those who join us in this newly created division of FCA.
We are on the threshold of the biggest revolution in personal transportation.
We need great people who share our passions. Everything you do -- and learn -- will be leading to the future at FCA.
Fiat Chrysler Automobiles is a place where people are empowered to drive change, where bold challenges are taken on and an entrepreneurial spirit is ever present. Our culture never settles on the status quo; rather, collaboration, curiosity, and unconventional thinking. Every employee, regardless of position in the company, is expected to drive change and lead people. We employ five key leadership principles that reflect our core values and provide the foundation for the cultural transformation of our workforce:
We are a meritocracy.
Leadership is a function of leading change and leading people.
We embrace and cherish competition.
We aim to achieve best-in-class performance.
We deliver what we promise.
As a Data Solution Architect, YOU will provide critical architect expertise to support analytics initiatives for commercial functions in which FCA operates.
The Data Solutions Architect is a role in the Business Analytics & Data Services (BA) department and reports through the CIO.
The newly hired Data Solutions Architect will be a key interface in in the design and development of data and analytics on behalf the ICT Sales & Marketing team, the Business and the BA teams. Candidates need to be very much self-driven, curious and creative.
A Bachelor's degree in computer science, data management, information systems, information science or a related quantitative field or equivalent work experience is required.
Five years or more of work experience in developing technical and solutions architectures in the data analytics space
At least three years of experience working in cross-functional teams and collaborating with business stakeholders in support of a departmental and/or multi-departmental data management and analytics initiative
Technical Architecture experience with big data technologies including Hortonworks Hadoop Data Platform, Greenplum, Cloudera, etc.
Coding experience utilizing common analytics tools/languages: (PIG, SQL, JAVA, PYTHON, R, etc)
Demonstrated ability to work across multiple deployment environments including [cloud, on-premises and hybrid], multiple operating systems and through containerization techniques such as [Docker, Kubernetes, AWS Elastic Container Service and others]
Big data infrastructure experience and deep familiarity with enterprise architecture best practices
Adept in agile methodologies and capable of applying DevOps and increasingly DataOps principles to data pipelines to improve the communication, integration, reuse, and automation of data flows between data managers and consumers across an organization
Basic experience working with popular data discovery, analytics and BI software tools like [Tableau, Qlik, PowerBI, and others] for semantic-layer-based data discovery
Should exhibit superior presentation skills, including storytelling and other techniques to guide and inspire and explain analytics capabilities and techniques to the organization
A master's degree or Ph.D. in computer science, data management, information systems, information science or a related quantitative field [or equivalent work experience] is required.
Strong experience in working with both open-source and commercial message queuing technologies [such as Kafka, JMS, Azure Service Bus, Amazon Simple Queuing Service, others], stream data integration technologies such as [Apache Nifi, Apache Beam, Apache Kafka Streams, Amazon Kinesis, others] and stream analytics technologies such as [Apache Kafka KSQL Apache Spark Streaming Apache Samza, others]
Experience in working with data science teams in refining and optimizing data science and machine learning models and algorithms
Fiat Chrysler Automobiles